baseline

Intel Core i7-10700K testing with a ASRock Z490 Phantom Gaming 4 (P1.20 BIOS) and Zotac NVIDIA GeForce RTX 3090 24GB on CentOS Linux 8 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2102237-SK-BASELINE625
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Zotac NVIDIA GeForce RTX 3090
February 23 2021
  8 Minutes
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baselineOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-10700K @ 3.70GHz (8 Cores / 16 Threads)ASRock Z490 Phantom Gaming 4 (P1.20 BIOS)Intel Comet Lake PCH Shared SRAM64512MB2000GB Western Digital WDS200T2B0BZotac NVIDIA GeForce RTX 3090 24GB (1695/9751MHz)Realtek ALCS1200AIntel ConnectionCentOS Linux 84.18.0-240.10.1.el8_3.x86_64 (x86_64)GNOME Shell 3.32.2X Server 1.20.8NVIDIA 460.32.034.6.0GCC 8.3.1 20191121 + CUDA 11.2xfs2560x1440ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionBaseline BenchmarksSystem Logs- Scaling Governor: acpi-cpufreq performance- SELinux + usercopy/swapgs barriers and __user pointer sanitization + Enhanced IBRS IBPB: conditional RSB filling + SSB disabled via prctl and seccomp

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoZotac NVIDIA GeForce RTX 3090612182430SE +/- 1.70, N = 1223.43

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesZotac NVIDIA GeForce RTX 30901326395265SE +/- 0.27, N = 357.16